Monthly Traffic Safety Analysis

23 CRASHES IN
SWAMPSCOTT, MA
DECEMBER 2024

All metrics benchmarked againstDecember 2023

In December 2024, SWAMPSCOTT experienced 23 crashes, marking a 76.9% increase compared to the 13 crashes reported in December 2023. A notable positive shift was the absence of DUI-related crashes in the current period, down from 3 in the prior year.

23

76.9%was 13

Total Crash Events

0

Persons Killed

4

-20.0%was 5

Persons Injured

0

Fatal Crash Events

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in SWAMPSCOTT showed an upward trend, with total crashes increasing by 76.9%, from 13 in December 2023 to 23 in December 2024. Despite this rise in total incidents, the number of injuries decreased by 20%, from 5 to 4, and fatalities remained at zero in both periods.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 10.0%

3

Motorists Injured

Prior: 4-25.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with the peak crash day moving from Tuesday with 5 crashes in December 2023 to Saturday with 6 crashes in December 2024. While 5 PM remained the peak hour for crashes in both periods, the number of incidents during this hour doubled from 3 in December 2023 to 6 in December 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero for both December 2023 and December 2024. Total injuries saw a 20% decrease, from 5 injuries in December 2023 to 4 in December 2024. This reduction was primarily due to a decrease in serious injuries (from 1 to 0) and possible injuries (from 2 to 0), while minor injuries increased from 2 to 4.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes17.4%
100.0%prior 2
No Injury17no injury crashes73.9%
112.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor, 'No improper driving,' increased by 8 crashes, from 5 in December 2023 to 13 in December 2024. Factors such as 'Inattention' and 'Distracted' emerged with 5 and 2 crashes respectively in December 2024, whereas they were not among the top reported factors in December 2023. Conversely, 'Operating vehicle in an erratic, reckless, careless, negligent or aggressive manner' decreased from 2 crashes in the prior period to 0 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving13 (56.5%)160.0%prior 5
Inattention5 (21.7%)
Distracted2 (8.7%)
Disregarded traffic signs, signals, road markings1 (4.3%)
Failed to yield right of way1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased by 5, from 8 in December 2023 to 13 in December 2024, while crashes involving 'Sleet, hail' conditions rose from 0 to 5. Incidents during 'Dark - lighted roadway' conditions doubled from 6 to 12 crashes, and 'Daylight' crashes also increased from 6 to 9. Similarly, crashes on 'Dry' road surfaces increased by 5 (from 9 to 14), and those on 'Wet' surfaces increased by 3 (from 4 to 7).

Weather

Clear13 (56.5%)
62.5%prior 8
Clear/Clear3 (13.0%)
Sleet, hail (freezing rain or drizzle)/Cloudy3 (13.0%)
Snow1 (4.3%)
Rain/Severe crosswinds1 (4.3%)
Clear/Sleet, hail (freezing rain or drizzle)1 (4.3%)
Sleet, hail (freezing rain or drizzle)1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Dark - lighted roadway12 (52.2%)
100.0%prior 6
Daylight9 (39.1%)
50.0%prior 6
Dawn1 (4.3%)
Dusk1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry14 (60.9%)
55.6%prior 9
Wet7 (30.4%)
Ice1 (4.3%)
Slush1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (45 vehicles)

1
TOYOTA10 (22.2%)
2
HONDA6 (13.3%)
20.0%prior 5
3
JEEP4 (8.9%)
4
FORD3 (6.7%)
5
HYUNDAI3 (6.7%)
6
LEXUS3 (6.7%)
7
BMW2 (4.4%)
8
MAZDA2 (4.4%)
9
VOLVO2 (4.4%)
10
MACK1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Vehicle unit records

5 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (50 persons with recorded sex)

Female25 (50.0%)
108.3%prior 12
Male25 (50.0%)
78.6%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes within 25 mph speed zones saw the largest increase, rising by 7 incidents from 4 in December 2023 to 11 in December 2024. Crashes in 30 mph zones also increased slightly, from 8 to 9. Additionally, 2 crashes occurred in 20 mph zones in December 2024, a category not present in the prior year's data, while crashes in 15 mph zones remained stable at 1 for both periods. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2024-12-01 through 2024-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-12-01 through 2024-12-31 (31 days)
  • Geographic scope: SWAMPSCOTT, MA
  • Total crash records analyzed: 23
  • Total persons involved: 54
  • Total vehicles involved: 45

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "SWAMPSCOTT, MA Crash Intelligence Report: December 2024." Published June 21, 2026. Reporting period: 2024-12-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/swampscott/december-2024-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Swampscott, MA Crash Report — December 2024 | ThatCarHitMe.com